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In the wake of the U.S. 2024 presidential election , one fact became clear : Disinformation proliferated online at a startling rate , influence Americans ’ viewsabout each nominee as well as a various set of topics , include public health , mood change , and immigration . Generative AI — with its power to grow deepfakes in endorsement and its aptness to hallucinate fact — only stands toexacerbate the problem .
Factiverse , astartupthat participated inTechCrunch Disrupt ’s Startup Battlefield 200 in October , is brace itself for the onslaught . The society , which bring home the bacon best pitch in the Security , Privacy , and Social Networking category , has develop a job - to - business creature that provides alive fact - checking of text , video , and audio . The party ’s sales pitch : to help business save hr of enquiry and palliate any reputational risk or legal liability .
The Norwegian startup is still in its early stages ; Factiverse has raised around $ 1.45 million in pre - seed money since launch in 2020 . Yet it has already begun working with both medium and financial partners , admit one of the largest banks in Norway , according to Factiverse CEO and co - founder Maria Amelie .
Factiverse even provided springy fact - checking of theU.S. presidential debatesthat was used by several medium partners , Amelie say .
“ We ’re not an LLM ( big language modeling ) . We ’ve built a different type of model free-base on information recovery , ” Amelie state TechCrunch .
As a former technology diarist and put out author , Amelie has firsthand experience in the warfare against fact . She worked with Factiverse cobalt - founder and CTO Vinay Setty , who is associate prof in car learning at the University of Stavanger , to plunge the inauguration with a B2B focus .
Factiverse ’s simulation is rail on high - quality , well - curated , and believable information from reliable sources and fact - checkers around the world , according to Amelie , and not the “ rubble food data ” that generative AI is trained on .
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“ We train our AI example to intuitively think like someone who has a lot of experience with explore information , ” Amelie aver .
The example , which is base on simple machine learning and natural oral communication processing , is able-bodied to key out claims and search the web in existent fourth dimension — everything from search engines like Google and Bing to AI search engines like You.com to pedantic papers .
“ The most fun part is that we ’re not point you whatever comes up first on those lookup engines , ” Amelie said . “ We ’re actually proposing to you what source are the most , or historically have been the most , believable on your matter . … We actually look into the domain in correlational statistics to the matter , and sometimes even who is being quoted in an article . ”
As of today , Factiverse say it outperforms GPT-4 , Mistral 7B , and GPT-3 in its ability to identify fact tally - suitable claim in 114 languages . The company ’s model also outperforms LLM on determining the veracity of a claim . Amelie said Factiverse ’s success rate is around 80 % and the finish is to improve as the company onboards new customer around the Earth .
“ We have enough funding to be the best , but we are here in the U.S. to become the fastest , ” Amelie told TechCrunch . She also observe the company wants to advance a seed beat in 2025 . “ We are looking for client and investors who want to indue in cartel and believability , ” she state .
